Library-Inside:A Foundation Model for AI-empowered New Quality Productive Forces for Library Services
AI is fast changing the knowledge service landscape.The ever-evolving generative large language models and increasingly sophisticated prompt engineering techniques have not only started the era of AIGC for text,images,and videos but also began to take over the arena of every-day basic knowledge services and is triggering revolutionary changes in the productive relations of knowledge services,including reverse balance of knowledge gaps and disintermediation of knowledge services.Libraries urgently need to empower themselves with AI to develop new quality productive forces.It is necessary to emphasize that the key of new quality productive forces is the advanced productivity model in line with new development concepts,which is far from only using advanced technology to optimize or improve traditional business processes and skills,but more importantly,changing business models and operation methods to create new business models and market value.New institutional supply is needed to drive the emergence of new quality productive forces,and vigilance should be raised to guard against only focusing on new technologies while ignoring development of new types of production relations.Problem-oriented and scenario-driven innovation strategies should be pursued in the exploration of possible implementation models.Complex adaptive systems philosophy can raise the insight and realm of development of new quality productive forces.Design-driven innovation will promote continuously evolution of new quality productivity forces of library services with competitive vitality and resilience.With a first-principle driven re-analysis of"what do people do in the library",this paper proposes Library-Inside as a foundation model for AI to empower the development of new quality productive forces of library services,enabled by large language models plus AI agent technologies.Three possible Library-Inside implementation models are proposed:1)Library-Inside 1.0,as an intelligent assistant for user knowledge application,with illustrative examples of an extensible exhibition and an intelligent learning activity.2)Library-Inside 2.0,as the intelligent cockpit for user knowledge creation,with illustrative examples of a sophisticated intelligent lab and a strategic analytic copilot for policy for science analysis.3)Library-Inside 3.0 or Library x,as an ecological nurturing station for institutions or localities to develop AI-empowered productivity environments.The author believes that technological building blocks are ready to support fast iterative and cooperative development of those models.This can be achieved only with pointed strategic innovation efforts.Some inherent structural deficiencies should be overcome,such as user-antagonistic mentality,competency blackholes,cooperation aversion,cultural traps,and blind love of the past and tradition.And high alert should be given to many systematic deviations,such as overlooking user missions,misalignment of strategies of upper institutions,insistence on certainty and completeness,avoidance of new ideas and competition,and fear of complexity.6 figs.36 refs.
LibraryAINew quality productive forcesLibrary-InsideLibrary ×Intelligent assistantIntelligent cockpitEcological nurturing station